Getting Started

TL;DR

pip install waloviz
apt-get install ffmpeg

import waloviz as wv

wv.extension()

wv.Audio("https://www2.cs.uic.edu/~i101/SoundFiles/CantinaBand3.wav")

<class 'bokeh.models.plots.GridPlot'>

This web page was generated from a Jupyter notebook and not all interactivity will work on this website. Right click to download and run locally for full Python-backed interactivity.

Explanation

waloviz was built to be as accessible as possible, whether you’re using jupyter, colab, VSCode, JupyterLab or just pure HTML - you’ll only need three lines of code.

First we need to install waloviz:

pip install waloviz

We also need to install ffmpeg as a backend for torchaudio:

apt-get install ffmpeg

Then we need to import waloviz and activate the extension:

jupytercolabVSCodeJupyterLabPure HTML

import waloviz as wv
wv.extension()

Then we need to call wv.Audio with our URL or file-path:

jupytercolabVSCodeJupyterLabPure HTML

wv.Audio('https://www2.cs.uic.edu/~i101/SoundFiles/CantinaBand3.wav')

And… that’s it, you’re done.

You can use the player to interact with your audio.

Using the player

The controls are pretty intuitive, but here are the most important controls you should to know:

1. A single click on the spectrogram - toggles play\pause

2. Clicking on the bottom progress - moves the current time

3. Scrolling with the mouse wheel - zooms in\out

4. Dragging the mouse while pressing down - moves forwards\backwards

5. The small ↺ icon on the top left toolbar - resets to the initial view

6. Clicking on the Download waloviz.html - downloads an HTML version of the player

To learn more, read our User Guide.